Tuesday, April 14, 2026

Amazon AI Capex is a Rorschach Test

Amazon capital spending plans are a bit of a Rorschach test test these days: what the picture means tells us more about the viewer’s perceptions than the objective facts about the investments. 

figures in millions 


Investors and analysts fear the impact on free cash flow, of course. But Amazon operating margins still look decent, at the moment. 


Amazon CEO Andy Jassy's shareholder letter might put the firm’s thinking into perspective. Jassy says that although “reasonable people can disagree,” “when you identify disproportionate inflections, bet big.”


And Amazon believes AI is that sort of thing. 


“Three years after AWS launched commercially, it had a $58 million revenue run rate,” Jassy says. “Three years into this AI wave, AWS’s AI revenue run rate is over $15 billion in Q1 2026, nearly 260 times larger than AWS at that same point.”


And everyone agrees there now is excess demand for high-performance computing capability. “We still have capacity constraints that yield unserved demand,” says Jassy. As an example, he notes that ”two large AWS customers have already asked if they could buy ‘all’ of our Graviton instance capacity in 2026 (custom CPU chip).”


And it matters how big, and how fast, the new business grows. “The way AWS’s cash cycle works is that the faster AWS grows, the more short-term capex we’ll spend.” Everyone understands that. 


But that’s where the Rorschach analogy kicks in. “The free cash flow and return on invested capital  for these investments are cumulatively quite attractive a couple years after being in service,” Jassy says.


“However, in times of very high growth (like now), where the capex growth meaningfully outpaces the revenue growth, the early-years FCF is challenged until these initial tranches of capacity are being monetized and revenue growth out-paces capex growth,” Jassy says. 


What investors and analysts “see” in the ink blots is conditioned by their expectations about the size of the opportunity; the profit margins; the payback period and the likelihood that a “winner takes most” market structure will develop. 


“Every customer experience will be reinvented by AI, and there will be a slew of new experiences only possible because of AI,” Jassy notes. 


Agree or not, his views on a few key questions are emphatic”

  • Is the technology over-hyped

  • Are we  in “a bubble”

  • Will the margins and ROIC will be appealing. 


“My strong conviction, at least for Amazon, is that the answers are no, no, and yes,” says Jassy. 


Strong opinions are held for each of those questions, and investor bets will follow. Big gains or big losses are possible. But investor decisions on where to place bets are a Rorschach test.


Monday, April 13, 2026

Will Claude Mythos Preview Help or Harm Security Suppliers?

It now seems almost routine that some new language model emerges to further disrupt some part of the computing industry. First it was chips, processors and memory. Then it was enterprise software. Now it seems to have extended to edge networks. 


The impact on security suppliers is less clear.


Claude Mythos Preview is Anthropic’s most capable frontier AI model to date, announced April 7, 2026), and seems poised to affect security software suppliers, although the direction and magnitude seem unclear. 


Many climbed on the day of the announcement, then retreated afterwards. 


Company

Pre-Announce Close (Apr 6)

Announce Day Close (Apr 7)

Latest Close (Apr 10)

% Change Announce Day (Apr 6 → 7)

% Change Since Announce (Apr 6 → 10)

CrowdStrike

$398.61

$423.23

$379.02

+6.2%

-4.9%

Palo Alto Networks

$161.95

$169.87

$155.73

+5.0%

-3.8%

Cisco

$80.44

$80.68

$82.22

+0.3%

+2.2%

Fortinet

$82.29

$83.72

$76.70

+1.7%

-6.8%

Zscaler

$139.52

$142.09

$118.05

+1.8%

-15.4%

SentinelOne

$13.51

$13.38

$11.94

-1.0%

-11.6%

Cyber Security ETF

$77.41

$78.55

$71.17

+1.5%

-8.1%


Claude Mythos Preview is a general-purpose large language model that shows a major leap in capabilities over predecessors like Claude Opus 4.6, particularly in software engineering, reasoning, agentic tasks, and cybersecurity.


In internal and partner testing, the model autonomously:


Implication

Description

Why It Matters (Rationale)

43e

Defensive Product Enhancement

Use Mythos-level AI for autonomous vuln scanning, exploit chaining detection, and code hardening in EDR, SIEM, and cloud security tools.

Model finds zero-days and generates PoCs far faster than humans or legacy scanners.

New AI-powered “Mythos-class” scanning modules; faster patch recommendations; competitive edge for partners with early access.

Offensive Threat Amplification

Future public/similar models enable low-skill actors to launch advanced, autonomous attacks (e.g., custom zero-days overnight).

Drops the expertise and time required for exploits dramatically.

Must build stronger behavioral AI detection, sandboxing, and exploit-prevention layers; shorter detection windows expected.

Partnership & Access Advantage

Launch partners (CrowdStrike, Palo Alto, Cisco, etc.) get exclusive early access and collaboration.

Direct integration into security platforms and threat-intel sharing.

Accelerated R&D; co-developed defensive tools; potential revenue from AI-augmented services. Non-partners may lag.

Open-Source & Supply-Chain Security

Providers can scan and help patch foundational software (Linux kernel, browsers, FFmpeg, etc.) via Glasswing.

Thousands of previously unknown critical flaws in core dependencies.

Contribute to/fund open-source programs; integrate supply-chain risk scoring; position as “AI defenders of the internet.”

Market & Regulatory Pressure

Increased demand for AI-native security solutions; possible new compliance rules around AI-assisted vuln disclosure.

Governments and enterprises will require defenses against AI-powered threats.

Invest in AI talent/infrastructure; lobby for standards; prepare for audits on AI usage in security products.

Cost & Resource Implications

High token pricing + need for massive compute for agentic scanning.

Frontier models are expensive to run at scale.

Budget for API credits; optimize agentic workflows; explore on-prem or hybrid deployment once safeguards improve.

Ethical/Responsibility Shift

Providers become active participants in preemptive global hardening rather than just reactive responders.

Anthropic’s explicit goal: “put these capabilities to work for defensive purposes” before they proliferate.

Public reporting on patched vulns (90-day Glasswing updates); transparency on AI usage; align with responsible AI scaling.

Long-Term Industry Equilibrium

AI will eventually make software more secure overall (model-generated hardened code, automated patching).

Transitional risk is high, but net positive expected.

Pivot product roadmaps toward AI-augmented prevention and autonomous response; prepare for reduced reliance on signature-based detection.


It is available only in a tightly gated private preview via Project Glasswing, a defensive cybersecurity consortium. 


Launch partners include Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, NVIDIA, Palo Alto Networks, and more than 40 additional organizations. 


For security software providers (antivirus/EDR vendors, firewall/endpoint firms, cloud security platforms, etc.), Claude Mythos Preview raises both the defensive opportunity and the offensive threat level.


Why it matters:

  • Models can now autonomously find and exploit subtle, long-hidden vulnerabilities (some 16–27 years old) that survived millions of automated tests and human expert review 

  • Defenders benefit by using Mythos Preview to scan their own products, customer environments, and critical open-source dependencies at superhuman speed and scale.

  • Long-term equilibrium shifts are possible: (harder code, automated patching, faster incident response), but also increased attack volume and sophistication.


At least for the moment, investors seem unclear whether opportunity or risk is greater for incumbent suppliers of security products.


Sunday, April 12, 2026

Now Claude Managed Agents Threaten Edge Networks

Add edge networks such as Akamai, Fastly and Cloudflare to the list of enterprise software of service providers that might be disrupted or helped by growing use of language models and especially agents


And blame Anthropic for the recent concern. Claude Managed Agents, launched April 8, 2026 in public beta, handles sandboxed code execution, checkpointing, credential management, scoped permissions, and end-to-end tracing.


Investors seem to be pricing in only danger, but upside arguably also exists.


The core tailwind is simply volume. Cloudflare's CEO noted that if a human were shopping for a digital camera and might visit five websites, an AI agent doing the same task might visit 5,000. 


In fact, AI bot traffic across the Akamai network surged more than 300 percent since Akamai began tracking it, with AI training crawlers accounting for the largest share. 


One might point to earlier concerns about Akamai capital spending that has rattled equities of many types, but that does not seem to be the impetus for the declines of April 10. 


Fastly has noted that inference operations likewise are providing a big boost to its revenue. 


So why did Akamai stock sell off sharply, about 17 percent, on the news? Cloudflare sold off 13.5 percent on April 10. And Fastly sold off nearly 22 percent on the same day. 


Simply, Claude Managed Agents threatens to move much of that former “outsourced” or external traffic “in house.” Claude is now arguably getting into the infrastructure layer for agents, as a potential competitor. 


Impact area

Mechanism

Direction

Effect on CDNs

Who benefits

Source

Explosive growth in bot & agent traffic

Claude Managed Agents spawn long-running sessions that browse the web at machine speed — the Cloudflare CEO noted agents may visit 1,000× more sites than a human doing the same task. Akamai tracked a 300% rise in AI bot traffic across its network in 2025.

tailwind

More requests, bandwidth, and cache-hit pressure — CDNs must handle vastly more non-human HTTP volume.

All three; Cloudflare leading

TechCrunch

Edge inference & AI Gateway demand

Anthropic routes MCP tool calls through third-party services; CDNs like Cloudflare offer AI Gateway products that proxy and cache LLM API calls at the edge. Workers AI inference requests grew 4,000% YoY in Q1 2025.

tailwind

New high-margin inference and gateway revenue streams open up for CDNs that offer edge compute.

Cloudflare (Workers AI, AI Gateway); Fastly (semantic caching)

Klover.ai

MCP server hosting & orchestration

Claude Managed Agents connects to external services through MCP servers. Cloudflare extended its Workers platform with MCP Server Portals; Fastly offers edge orchestration for MCP-style workloads.

tailwind

CDNs become the natural 'control plane' for routing agent tool calls with low latency and built-in auth.

Cloudflare (MCP Server Portals); Fastly

Cloudflare blog

Bot management & agent identity

Agents generate traffic that is hard to distinguish from malicious bots. Akamai and Cloudflare must evolve bot management to allow legitimate agent traffic while blocking bad actors. Cloudflare & GoDaddy partnered specifically to separate trusted agents from scrapers.

tailwind

Increased demand for bot management, agent identity verification, and WAF rule updates.

Akamai (Bot Manager); Cloudflare (Bot Fight Mode)

The Register

DDoS & security complexity

AI agents can be weaponised or exploited. Cloudflare mitigated a 31.4 Tbps DDoS attack in Q4 2025; hyper-volumetric attacks grew 700% that year. Managed agent traffic is a growing attack surface.

tailwind

Higher security service revenue; CDNs are critical infrastructure for absorbing AI-amplified attack volumes.

All three; Cloudflare most exposed

Cloudflare 2026 report

Semantic caching of agent queries

AI agents issue repetitive or semantically-similar requests. Fastly's 'AI Accelerator' uses semantic caching to avoid redundant inference passes. Cloudflare AI Gateway adds response caching across providers.

tailwind

New caching product category; CDNs monetise the gap between raw inference cost and cached delivery.

Fastly (AI Accelerator); Cloudflare (AI Gateway caching)

Futuriom

Anthropic runs its own agent infrastructure

Claude Managed Agents runs on Anthropic's own infrastructure — sandboxed containers, state management, and orchestration are all handled in-house. This keeps a large slice of compute spend inside Anthropic's cloud, not CDN PoPs.

headwind

Enterprises that previously self-hosted agents (and used CDN edge compute for inference) may shift workloads onto Anthropic's platform instead.

Cloudflare Workers AI; edge compute providers

The New Stack

Disintermediation of traditional CDN caching

AI agents retrieve answers from Claude rather than browsing cached web pages, reducing human-driven page requests. If AI mediates content discovery, fewer end-user requests reach CDN-cached origin servers.

headwind

Long-term erosion of traditional web caching revenue as human page views decline relative to bot/agent queries.

Akamai (most exposed, hardware-intensive legacy CDN model)

FinancialContent

AI-driven content disengagement

Akamai observed agentic traffic declining post-Cyber Week 2025 because many sites lack the structured data agents need. Agents disengage from unoptimised sites, shifting traffic away from poorly-structured CDN customers.

headwind

CDN customers in retail/media face traffic shifts if they don't optimise for agent consumption, reducing effective CDN utilisation.

Akamai customers in retail & media

Akamai AI Pulse

Capital expenditure burden (Akamai-specific)

Akamai is investing heavily in physical GPU inference infrastructure (Akamai Inference Cloud). CapEx is projected at 23–26% of revenue in 2026, weighing on margins even as AI-adjacent revenue grows 45%.

mixed

AI agents drive new revenue but at the cost of high capital intensity for hardware-focused CDNs — software-defined competitors benefit more.

Akamai (headwind); Cloudflare (tailwind — software model)

FinancialContent

Agentic content monetisation standards

Akamai predicts that 'agentic commerce will scale only where trust and permission are clearly established.' Agent identity frameworks (Visa Trusted Agent Protocol, Skyfire KYA) will require CDN-level enforcement of who agents are and what they can access.

mixed

CDNs that build agent identity and permission infrastructure early win new platform revenue; laggards become 'dumb pipes'.

All three — early movers win higher-margin platform roles

Akamai AI Pulse


So even if some tailwinds exist, Claude Managed Agents threaten to transform some of those tailwinds into headwinds. 


The key headwind is that Anthropic runs Managed Agents on its own cloud infrastructure. Users simply describe the agent, and Anthropic handles sandboxing, authentication, and tool execution. 


This keeps substantial compute spend inside Anthropic's own stack rather than at CDN edge nodes.

 

Amazon AI Capex is a Rorschach Test

Amazon capital spending plans are a bit of a Rorschach test test these days: what the picture means tells us more about the viewer’s perce...